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import gradio as gr
import replicate
import os
import requests
from PIL import Image
from io import BytesIO
def generate_image(prompt, api_key):
# Set the API key for the current session
os.environ["REPLICATE_API_TOKEN"] = api_key
# Prepare the input for the model
inputs = {
"prompt": prompt,
"prompt_upsampling": True
}
# Run the model and get the output URL
output_url = replicate.run(
"black-forest-labs/flux-1.1-pro",
input=inputs
)
# Fetch the image from the URL
response = requests.get(output_url)
image = Image.open(BytesIO(response.content))
# Return the image
return image
# Create the Gradio interface
iface = gr.Interface(
fn=generate_image,
inputs=[
gr.Textbox(
lines=2,
placeholder="Enter your prompt here...",
label="Prompt"
),
gr.Textbox(
lines=1,
placeholder="Enter your Replicate API key...",
type="password",
label="Replicate API Key"
)
],
outputs=gr.Image(type="pil"),
title="FLUX 1.1 Pro Text-to-Image Generator",
description="Generate images from text prompts using the FLUX 1.1 Pro model."
)
# Launch the Gradio app
iface.launch()
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